Instructions to use Forturne/instruct_ret with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Forturne/instruct_ret with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Forturne/instruct_ret", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Forturne/instruct_ret", trust_remote_code=True) model = AutoModel.from_pretrained("Forturne/instruct_ret", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d05787b0a34dd18b3dca83ab463384c2829d643171e56ee21448bc38a6802ca
- Size of remote file:
- 11.4 MB
- SHA256:
- 7662752ecf395d0aa73ec65f0ba49607e0924d810d688c6ae21eeba59fdeb31c
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